Are you thinking of studying Computer Sciences, abroad? Below you can find the most popular universities and programmes to study Computer Sciences in Nairobi, Kenya. This list is based on visitors on the Studyportals websites, listing more than 150,000 English-taught Bachelor's and Master's programmes world-wide.
Pass IELTS with Swoosh English! Sign up for a free writing masterclass or claim your exclusive 25% Studyportals discount and accelerate your preparation by taking a course designed by experts to get you the results you need.
Most popular Computer Sciences programmes for international students in Nairobi
These are the most popular programmes among international students who are looking for a Computer Sciences degree in Nairobi.
Study abroad in English
To apply at one of these universities, you may need a proof of English proficiency. There are several standardised English tests that you can take to proof your English level, such as the PTE (Pearson Test of English), TOEFL (Test of English as a Foreign Language), CAE (Cambridge Advanced English) and IELTS (International English Language Testing System), offered by British Council and IDP. IELTS is the most popular of these tests, with British Council offering more than 1000 test locations and being accepted by more than 9,000 organisations world-wide.
About Computer Sciences
Computer Sciences degrees teach computer hardware and software, so students can work with algorithms, databases, networks, or artificial intelligence. IT degrees from top tech schools allow students to fix complex problems better and faster. Computer Science graduates find jobs as software developers, database administrators, computer system analysts, web developers, etc.
Related disciplines
- Informatics & Information Sciences
- Geographical Information Systems (GIS)
- Business Information Systems
- Video Games & Multimedia
- Computer Sciences
- Data Science & Big Data
- Health Informatics
- Human Computer Interaction
- IT Security
- Web Technologies & Cloud Computing
- Cyber Security
- Software Engineering
- Artificial Intelligence
- Machine Learning
